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LC/QTOF Identification of
Microcystin Variants in Cell-
Bound Algae from the San
Francisco Estuary
Ralph Hindle
Vogon Laboratory Services Ltd.
Cochrane, Alberta, Canada
Max Mizel
Dept. of Civil and Environmental Engineering
UC Davis
Davis, California
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• Investigate impact of Microcystis aeruginosa in
San Francisco Estuary Delta in summer/fall of
2014
• Magnitude
• Timing
• Distribution
• Toxin content (cell-bound)
• Identify and quantitate MC-LR
• Identify other MC’s that may be present
• Nitrogen source
• Food web impact
Project Outline
General Microcystin Structure
> 70 microcystins have been identified in the literature
Microcystin
Examples
X Z Formula Neutral Mass
LR Leucine Arginine C49H74N10O12 994.5488
Desmethyl LR Leucine Arginine C48H72N10O12 980.5331
RR Arginine Arginine C49H75N13O12 1037.5658
YR Tyrosine Arginine C52H72N10O13 1044.5280
LW Leucine Phenylalanine C54H72N8O12 1024.5270
LF Leucine Tryptophan C52H71N7O12 985.5161
HtyR Homotyrosine Arginine C53H74N10O13 1058.5437
QQQ MRM Parametersa
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a These patterns are useful, as they show that all supplied MCs fragment to the same 2 diagnostic ions
b RR readily shows a doubly-charged precursors. Depending on source conditions, other MCs can show either singly- or doubly-charged ions.
Microcystin Precursor b
(m/z)
Product Ion
(m/z)
Collision Energy
(V)
LR 995.6 135.2
213.2
80
80
Desmethyl-LR 981.5 135.2
213.2
80
80
RR 520.0 135.2
213.2
30
40
YR 1045.5 135.2
213.2
80
70
LW 1025.5 135.2
213.2
80
60
LF 986.5 135.2
213.2
70
50
HtyR 1059.5 135.2
213.2
80
70
Common Microcystin Fragments
m/z = 135.1 and 213.1
C9H11O+
m/z = 135.0804
Glu + Mdha = C9H13N2O4+
m/z = 213.0870
Zoom in on common MC fragments - 135
135.0804 = C9H11O+
• De-methylation is common in microcystins• Two 135 ions are present from 2 different
fragments• Indicates that Adda group is intact and not
de-methylated
135.1168 = C10H15+
C9H11O+
C10H15+
LC-QTOF Instrumentation
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HPLC Mass Spectrometer
1290 Binary Pump 6520 or 6540 QTOF
1200 Degasser Electrospray Source
1290 Autosampler
1290 TCC
Database Score
Monoisotopic mass(varies in ppm)
Isotope spacing(varies in ppm)
Isotope distribution(varies in %)
Score based on:
• Mass match – measured versus given.
• Abundance score – abundance pattern of measured isotope cluster compared withvalues predicted from the proposed formula.
• Spacing match – how the m/z spacingbetween the lowest m/z ionand the A+1 and A+2 ions compared withthe values predicted from the proposed formula.
MC-LR Desmethylation Sites
Arg4
Leu2
MeAsp3
Ala1
Mdha7Glu6
Adda5
C49H74N10O12
Mass = 994.5488C48H72N10O12
Mass = 980.5331
- CH2
- 14.0157
Comparison of IC50 for MC Variants
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MC Variant IC50 (µg/mL)
[Asp3, Z-Dhb7] MC-LR 0.05
[Asp3, Z-Dhb7] MC-HtyR 0.12
[Asp3, E-Dhb7] MC-LR 0.13
[Asp3, Dha7] MC-LR 0.22
[Asp3] MC-LR 0.22
[Dha7] MC-LR 0.22
[Asp3, E-Dhb7] MC-HtyR 0.33
[Asp3] MC-HtyR 0.35
[Dha7] MC-YR 0.42
MC-LR 0.80
MC-YR 1.48
[Asp3, Dha7] MC-RR 4.11
[Asp3, E-Dhb7] MC-RR 4.95
[Dha7] MC-RR 5.33
[Asp3] MC-YR > 10
MC-RR > 10
IC50 = Inhibitory Concentration for cytotoxicity, from Shimizu et al, Toxins 2014, 6, 168-179
Trp200 His191
Gln122
Val126Tyr127Tyr265
Cys269
Arg89
Arg214
Ile123
Glu
53
X-ray crystal structures of MC-LR bound to the catalytic domain of PP2A. The data is from the protein database on the net, provided as part of Xing, Y., Xu, Y., Chen, Y., Jeffrey, P. D., Chao, Y., Lin, Z., Li, Z., Strack, S., Stock, J. B., and Shi, Y. (2006) Structure of protein phosphatase 2A core enzyme bound to tumor-inducing toxins. Cell 127, 341–353. The picture was generated by Christopher Miles (Oslo, Norway) using Pymol.
40 Microcystins Found in Trial Sample
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Name Formula Mass Score
MC-LA C46 H67 N7 O12 909.4856 95.0
MCYST-AR C46 H68 N10 O12 952.5013 92.6
MCYST-AR C46 H68 N10 O12 952.5025 99.3
[D-Asp3,Glu(OMe)]MCYST-LAba C47 H69 N7 O12 923.4992 92.5
MCYST-LAba C47 H69 N7 O12 923.5007 99.7
[D-Asp3, Dha7]MCYST-LR C47 H70 N10 O12 966.5176 98.9
MCYST-ER C48 H70 N10 O14 1,010.5105 90.1
[D-Asp3]MCYST-LL C48 H71 N7 O12 937.5156 99.4
[D-Asp3]MCYST-LL C48 H71 N7 O12 937.5155 99.1
MCYST-LM C48 H71 N7 O12 S 969.4874 97.8
[DMAdda5]MCYST-LR C48 H72 N10 O12 980.5307 92.2
[DMAdda5]MCYST-LR C48 H72 N10 O12 980.5325 92.0
MCYST-MR C48 H72 N10 O12 S 1,012.5051 98.7
MCYST-M(O)R C48 H72 N10 O13 S 1,028.5012 95.2
[D-Asp3]MCYST-RR C48 H73 N13 O12 1,023.5512 96.5
MCYST-FA C49 H65 N7 O12 943.4704 98.3
MCYST-YAba C49 H65 N7 O13 959.4631 90.4
MCYST-LL C49 H73 N7 O12 951.5311 97.8
LR C49 H74 N10 O12 994.5505 98.9
RR C49 H75 N13 O12 1,037.5682 96.6
Name Formula Mass Score
[L-Mser7]MCYST-LR C49 H76 N10 O13 1,012.5583 90.2
MCYST-HilR C50 H76 N10 O12 1,008.5644 99.0
MCYST-WA C51 H66 N8 O12 982.4811 99.0
MCYST-NfkA C51 H66 N8 O14 1,014.4684 97.1
[Asp3]MCYST-LF C51 H69 N7 O12 971.4998 97.0
[D-Asp3]MC-FR C51 H70 N10 O12 1,014.5179 95.5
[D-Asp3]MCYST-(H4)YR C51 H74 N10 O13 1,034.5428 97.9
[D-Asp3]MCYST-(H4)YR C51 H74 N10 O13 1,034.5440 97.8
MCYST-WAba C52 H68 N8 O12 996.4963 99.6
LF C52 H71 N7 O12 985.5163 92.2
MCYST-FR C52 H72 N10 O12 1,028.5335 98.2
[D-Asp3]MCYST-HtyR C52 H72 N10 O13 1,044.5269 98.2
MCYST-(H4)YR C52 H76 N10 O13 1,048.5595 98.9
[D-Asp3]MCYST-LW C53 H70 N8 O12 1,010.5105 97.9
[DMAdda5]MC-Y(OMe)R C53 H74 N10 O14 1,074.5385 93.6
LW C54 H72 N8 O12 1,024.5264 98.7
LW C54 H72 N8 O12 1,024.5273 92.9
MCYST-WR C54 H73 N11 O12 1,067.5446 98.8
LR-GSH C59 H91 N13 O18 S 1,301.6327 91.8
RR-GSH C59 H92 N16 O18 S 1,344.6510 96.2
Microcystins Reviewed
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dm-RR FA FR LR MC-LA RR WA WR
5 15 12 25 36 175 18 27
2 5 15 23 9 63 7 28
3 1 3 120 5 93 1 6
4 0 2 26 1 167 1 3
4 32 63 122 85 149 28 81
4 0 1 25 1 123 0 2
4 21 30 71 45 176 22 47
5 28 50 105 52 238 30 71
5 1 3 19 1 135 1 7
2 0 3 17 2 80 1 8
10 0 2 23 - 268 0 9
4 - 1 7 - 95 1 4
3 0 2 29 - 115 1 5
4 - 1 34 - 184 - 3
4 - 1 18 - 129 - 4
6 - 2 47 0 281 0 7
17 - 11 49 3 439 1 33
6 - 4 14 1 154 1 13
0 0 0 6 - 0
0 0 0 0 - 2 0 0
0 0 0 - 1 - 0
• 40 microcystin variants were detected in a single San
Francisco Delta algae sample immediately preceding
study• Accurate mass search of database with 123 unique chemical formulas
• Mass identification scores > 90
• Mass accuracy within 2 ppm
• MS/MS spectra for putative compounds without standards are being
reviewed
• Semi-quantitation will be done using response factors for known
standards
Summary
Acknowledgements
• California Department of Water Resources
• Tomo Kurobe (Project Manager)• UC Davis, Davis, CA
• Swee Teh (data release)• UC Davis, Davis, CA
• Christopher Miles (MC database)• Norwegian Veterinary
Institute (Oslo)
• Joe Weitzel (Travel to UC Davis)• Global Marketing Manager
(Agilent - USA)